Fine grained sport action recognition with Twin spatio-temporal convolutional neural networks

Pierre-Etienne Martin; Jenny Benois‐Pineau; Renaud Péteri; Julien Morlier

doi:10.1007/s11042-020-08917-3

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Fine grained sport action recognition with Twin spatio-temporal convolutional neural networks

Pierre-Etienne Martin Jenny Benois‐Pineau Renaud Péteri Julien Morlier

Year: 2020 Journal: Multimedia Tools and Applications Vol: 79 (27-28)Pages: 20429-20447 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-020-08917-3

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Keywords:

Computer science Convolutional neural network Optical flow RGB color model Artificial intelligence Table (database) Pattern recognition (psychology) Key (lock) Layer (electronics) Action recognition Action (physics) Image (mathematics) Class (philosophy) Data mining

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Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Diabetic Foot Ulcer Assessment and Management

Health Sciences → Medicine → Endocrinology, Diabetes and Metabolism

Fine grained sport action recognition with Twin spatio-temporal convolutional neural networks

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